Some examples: a program that speeds up the search mobile phone number list for candidates for a job; an automatic irrigation system that, through sensors, measures the humidity of the soil to decide which sectors should be irrigated and which should not, in order to save water and energy; recommendation algorithms for movies and series, music or contacts, such as those of the platforms that a significant part of the population regularly uses, which are based on the analysis of the behavior of the users to know what to recommend them; a system that analyzes whether mobile phone number list or not a bank customer can receive a loan.
Among the behaviors considered "intelligent" that computers mobile phone number list are already capable of include mobile phone number list learning new tasks, solving problems, capturing and analyzing information from the surroundings, etc. One of the challenges they still face is to improve their ability to understand contexts, mainly for the development of natural language, for which they need to broaden their understanding of semantics.5. In all these cases, the mobile phone number list fundamental input of the systems is the data that the algorithms use to make one or several decisions.
The irruption of the internet, the ubiquitous availability mobile phone number list of data, the almost massive capacity to collect that data and the computing power that is available today means that in recent years there has been an exponential deployment of machine learning (machine learning or machine learning) and deep learning . What is machine learning ?what is talked about so much? Machines, from complex medical devices mobile phone number list to mobile devices, "learn" from the data they are fed or collect from their own sensors (so the more data they receive, the more they learn).